What next for microcontrollers?
Viewing the migration from 8- and 16-bit to 32-bit MCUs from the perspective of the ARM architecture
By Joseph Yiu, ARM
Embedded.com (01/05/10, 09:41:00 AM EST)
The embedded world is constantly changing. You might not have noticed, but if you take a minute to recall what a microcontroller system was like 10 years ago and compare it to today's latest microcontroller systems, you will find that PCB design, component packages, level of integration, clock speed, and memory size have all going through several generations of change.
One of the hottest topics in this area is when will the last of remaining 8-bit microcontroller users start to move away from legacy architectures and move to modern 32-bit processor architectures like the ARM Cortex-M based microcontroller family.
Over the last few years there has been a strong momentum of embedded developers starting the migration to 32-bit microcontrollers and, in this multi-part article, we will take a look at some of the factors accelerating this migration.
In the first part of this article we will summarize as to why embedded developers should consider moving to the 32-bit microcontrollers.
To read the full article, click here
Related Semiconductor IP
- FlexGen Multi-Die Smart Network-on-Chip (NoC) IP
- Ncore Multi-Die Interconnect IP
- CryptoManager Root of Trust for Use with the Caliptra Specification
- Switched Capacitor 3.6V Boost-Buck DC-DC Converter
- GlobalFoundries 22nm 3V3 GPIO
Related Articles
- Criteria for ARM Migration as the Industry Standard MCU
- Microcontroller Applications -> 'Internetworking' treads on MCU turf
- Microcontroller Applications -> Connectivity invigorates MCU designs
- Microcontroller Applications -> Software vital in Net-linked MCU apps
Latest Articles
- SIMT-Aware Lockstep Verification and Functional-Coverage Closure Methodology for an Open-Source RISC-V GPGPU: A UVM 1.2 Environment
- Efficient Hardware Information-Flow Tracking for Pre-Silicon Security Testing
- REACH: Controller-Managed Long-Span ECC for HBM AI Inference
- FPGA Acceleration of Fully Homomorphic Encryption with Adaptive Key Switching
- AutoTrans: AI-Assisted Automatic Translation of Security Assertions for RISC-V Processors